Title :
Optimum sampling scheme for characterization of mine tailings
Author :
Debba, P. ; Carranza, E.J.M. ; Stein, A. ; Van Der Mee, F.D.
Author_Institution :
Council for Sci. & Ind. Res., CSIR Built Environ., South Africa
Abstract :
The paper describes a novice method for sampling geochemicals to characterize mine tailings. We model the spatial relationships between a multi-element signature and, as covariates, abundance estimates of secondary iron-bearing minerals in mine tailings dumps. The covariates of interest, are readily, but less accurately obtainable by using airborne hyperspectral data and estimated through spectral unmixing. Via simulated annealing an optimal prospective sampling scheme for a new unvisited area is derived based on the variogram model of a previously sampled area.
Keywords :
geochemistry; geophysical techniques; minerals; remote sensing; sampling methods; Hungary; Recsk-Lahoca copper mining area; airborne hyperspectral data; external drift kriging; geochemical characterization; iron-bearing minerals; mine tailings dumps; multi-element signature; optimum sampling scheme; remote sensing; variogram model; Copper; Councils; Hyperspectral imaging; Hyperspectral sensors; Industrial relations; Minerals; Remote sensing; Sampling methods; Spectroscopy; Tail; Sampling; external drift kriging; hyper-spectral; mine tailings; remote sensing; unmixing; variogram;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417522
